51–56 of 56 posts
All my ebooks are free to read online: https://github.com/learnbyexample/scripting_course#ebooks And here's a huge list of freely available programming books: https://ebookfoundation.github.io/free-programming-books/boo...
By no means a textbook, just a barely-edited book-length anthology of primary sources I put together, but let me plug my own: Finite of Sense and Infinite of Thought: A History of Computation, Logic and Algebra https://pron.github.io/computation-logic-algebra
Do you have plans on publishing an epub?
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https://github.com/ossu/computer-science
Still doesn’t really explain the contents of any of the linked courses or why you need to take them. The only decent teach yourself computer science program I have come across is https://teachyourselfcs.com/
> Still doesn’t really explain the contents of any of the linked courses or why you need to take them
That is the job of the course lecturer or author who know best. It is always done in the first lecture of any course and is provided in written form in the syllabus. All you need to do click on the links....
Their link to "Computer Architecture: A Quantitative Approach (5th edition)" ( https://booksite.elsevier.com/9780123838728/references.php ) is broken. Here's a couple more [1],[2]. I'm also surprised Jeff Erickson's free lecture notes [3] aren't there given 1) its easy to remember domain 2) its incredibly high, practical quality. Practical because I've had interviews that just grab questions from the book, and also b…
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Couldn't recommend Jeff Erickson's lecture notes more for algorithms, DP, and the like. I too did rather poorly in the class so you're not alone! In a similar vein, Lawrence Angrave, a systems programming lecturer, has a wonderful crowd-sourced "book" [1] on all things systems programming. It is my go to resource for brushing up on these topics. Lastly, David Forsyth, a statistics/applied ML lecturer has a gold mine…
Sometimes I’m wondering why U of I doesn’t have a bigger presence in the online learning world, other than net math. The material is great.